M. C. Torrent

1.6k total citations
65 papers, 1.1k citations indexed

About

M. C. Torrent is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, M. C. Torrent has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 30 papers in Statistical and Nonlinear Physics and 28 papers in Electrical and Electronic Engineering. Recurrent topics in M. C. Torrent's work include Nonlinear Dynamics and Pattern Formation (47 papers), Semiconductor Lasers and Optical Devices (26 papers) and stochastic dynamics and bifurcation (18 papers). M. C. Torrent is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (47 papers), Semiconductor Lasers and Optical Devices (26 papers) and stochastic dynamics and bifurcation (18 papers). M. C. Torrent collaborates with scholars based in Spain, United States and Germany. M. C. Torrent's co-authors include Jordi García‐Ojalvo, Javier M. Buldú, Cristina Masoller, Cláudio R. Mirasso, Ingo Fischer, Raúl Vicente, Jordi Tiana‐Alsina, Michael Peil, Andrés Aragoneses and J. M. Sancho and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Scientific Reports.

In The Last Decade

M. C. Torrent

65 papers receiving 1.1k citations

Peers

M. C. Torrent
Comparison fields: 5 of 67
  • Computer Networks and Communications 693
  • Statistical and Nonlinear Physics 567
  • Electrical and Electronic Engineering 386
  • Cognitive Neuroscience 275
  • Atomic and Molecular Physics, and Optics 221
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R. Jaimes-Reátegui Mexico
Г. Филатрелла Italy
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Aaron M. Hagerstrom United States
Manish Dev Shrimali India
Masatoshi Shiino Japan
О. И. Москаленко Russia
Damien Rontani France
I. Leyva Spain
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Citations per field, relative to M. C. Torrent
M. C. Torrent · 1×
Citations per year, relative to M. C. Torrent
M. C. Torrent · 1×

Countries citing papers authored by M. C. Torrent

Since Specialization
Citations

This map shows the geographic impact of M. C. Torrent's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. C. Torrent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Torrent more than expected).

Fields of papers citing papers by M. C. Torrent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Torrent. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. C. Torrent. The network helps show where M. C. Torrent may publish in the future.

Co-authorship network of co-authors of M. C. Torrent

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Torrent. A scholar is included among the top collaborators of M. C. Torrent based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. C. Torrent. M. C. Torrent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2
State space reconstruction of spatially extended systems and of time delayed systems from the time series of a scalar variable
5
3 13
4 1
5 15
6 13
7 43
8 45
9 26
10 20
11 42
12 14
13 24
14 238
15 1
16 7
17 15
18 31
19 24
20 21

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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